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authorGravatar Eugene Brevdo <ebrevdo@google.com>2016-12-05 10:17:11 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-12-05 10:27:02 -0800
commit9f0a3b65da1e86fbc7bcb6db8ff9958153855cc1 (patch)
tree03a9f2157c191266ab86cf264d68c903beca4524 /tensorflow/python/ops/parsing_ops.py
parenta5b2298d042f228aed02c31fac6220b61da9d876 (diff)
Part 2c of renaming SparseTensor.shape -> SparseTensor.dense_shape
Change: 141066682
Diffstat (limited to 'tensorflow/python/ops/parsing_ops.py')
-rw-r--r--tensorflow/python/ops/parsing_ops.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/python/ops/parsing_ops.py b/tensorflow/python/ops/parsing_ops.py
index 5b451416a3..0d52004a55 100644
--- a/tensorflow/python/ops/parsing_ops.py
+++ b/tensorflow/python/ops/parsing_ops.py
@@ -705,7 +705,7 @@ def parse_single_sequence_example(
`sequence_features` contains `VarLenFeature` and `FixedLenSequenceFeature`
objects. Each `VarLenFeature` is mapped to a `SparseTensor`, and each
`FixedLenSequenceFeature` is mapped to a `Tensor`, each of the specified type.
- The shape will be `(T,) + df.shape` for `FixedLenSequenceFeature` `df`, where
+ The shape will be `(T,) + df.dense_shape` for `FixedLenSequenceFeature` `df`, where
`T` is the length of the associated `FeatureList` in the `SequenceExample`.
For instance, `FixedLenSequenceFeature([])` yields a scalar 1-D `Tensor` of
static shape `[None]` and dynamic shape `[T]`, while